The other group of methods is independent from the number of domains. Mostly, the feature-level adaptation methods are based on the adversarial learning as in [1]}. The latter approach also finds several successful applications in medical imaging, e.g., [2]}, [3]}. Since these methods are conceptually close to each other, we stick with implementing a deep adversarial neural network, DANN, from [1]}.
